Electron contamination suppression in transmission detectors for radiotherapy

Lana M G Beck, Chiara De Sio, RIchard P Hugtenburg, Jaap J Velthuis

Research output: Contribution to journalArticle (Academic Journal)peer-review

Abstract

Objective. Higher energy and intensity radiotherapy beams are being used, in part, due to the increased spatial accuracy of treatments. However, higher intensity beams can result in a larger total dose error, motivating the increasing need for real-time dose monitoring. We are developing a thin, real-time upstream monolithic active pixel sensor based system for beam monitoring with excellent precision on measuring the beam shape. Here we present a method to additionally provide dosimetry by adding thin conversion material in strips to the surface of the detector, a grating structure. Approach. By modulating the thickness of the conversion material to minimally disturb the contamination electron signal while enhancing the photon signal, the difference in these signals can be used to extract a photon-only signal, and hence dose. The simulation software Gate, based on Geant4, is utilised to study whether well functioning gratings can be better made from aluminium or copper and to optimise the thickness of a copper grating. Main results. It is possible to enhance the photon signal by a factor 6.7 (7.7) compared to the bare sensor for a 5.8 (6.7) MV beam, without modulation of the signal due to beam electrons. Significance. The grating can be used to perform dosimetry in real-time using a thin upstream detector.
Original languageEnglish
Article number215014
Number of pages11
JournalPhysics in Medicine and Biology
Volume68
Issue number21
DOIs
Publication statusPublished - 26 Oct 2023

Bibliographical note

Publisher Copyright:
© 2023 The Author(s). Published on behalf of Institute of Physics and Engineering in Medicine by IOP Publishing Ltd

Fingerprint

Dive into the research topics of 'Electron contamination suppression in transmission detectors for radiotherapy'. Together they form a unique fingerprint.

Cite this